Sketching a “low-cost” text-classification technique for text topics in English

Abstract

The aim of this paper is to sketch a potential methodology for automatic text classification which allows text topic discrimination as a prior step to new case assignment to previously established text topics. Such case assignment will be performed by means of Discriminant Function Analysis based on a series of easily-computable linguistic parameters, in order to reduce computational costs.

Keywords

• automated text classification
• discriminant function analysis
• classification functions
• English language
• text topics